Merge master into gold/2021 #1315
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* Set minimum required versions & fix debug building * Fix typo
* Set minimum required versions & fix debug building * Add support of numpy 1.24
* Set minimum required versions & fix debug building * Get rid of 'has_aspect_host' property in tests * Update tests/test_sycl_queue.py Co-authored-by: Oleksandr Pavlyk <oleksandr.pavlyk@intel.com> Co-authored-by: Oleksandr Pavlyk <oleksandr.pavlyk@intel.com>
* Set minimum required versions & fix debug building * Add support of dpnp.less_equal() * Test no broadcast together with input shapes
* Use eye() function from dpctl.tensor. * Add missed order in test for eye() function. * Updated copyright year. Added parameter like for eye() function. * Removed input argumet additional kwards for eye() function.
* Set minimum required versions & fix debug building * Add device and sycl_queue keyword arguments to random calls * Add device and sycl_queue to dpnp.random.seed() & use random values if seed is None * Update dpnp/random/dpnp_iface_random.py Co-authored-by: Oleksandr Pavlyk <oleksandr.pavlyk@intel.com> --------- Co-authored-by: Oleksandr Pavlyk <oleksandr.pavlyk@intel.com>
* Add operation __index__ and __complex__ * Add tests
* dpnp.add() doesn't work properly with a scalar * get rid of dpctl.SyclQueue() call in tests with unsupported device keyword * Add a fix for crash on CPU device * USM type in operations with a scalar * Porting fix for crash to logic kernel
Print dpnp array
* Use tril() function from dpctl.tensor * Use triu() function from dpctl.tensor * Changed tests for tril() and triu() functions. * Skip tests for tril() and triu() functions with usm_type.
* dpnp.add() doesn't work properly with a scalar * dpnp.subtract() doesn't work properly with a scalar * USM type in operations with a scalar * Rollback excluded 'floor_divide' tests from skip scope * Explicit vector operations instead of saturation functions * Use std::int32_t and std::int64_t types * Tune tail's loop of kernel for the vector op
Add dlpack support
* dpnp.add() doesn't work properly with a scalar * dpnp.subtract() doesn't work properly with a scalar * dpnp.divide() doesn't work properly with a scalar * dpnp.divide() doesn't work properly with a scalar * Use std::int32_t and std::int64_t types * Disable floating-point optimizations that assume arguments and results are not NaNs or +-Inf * Fix issue with divide on Iris Xe
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Merge the latest changes from
masterbranch intogold/2021.